Personal information

No personal information available

Activities

Collapse all

Works (12)

Using synthesized facial views for active face recognition

Machine Vision and Applications
2023-07 | Journal article
DOI: 10.1007/s00138-023-01412-3
Contributors: Efstratios Kakaletsis; Nikos Nikolaidis
Source: check_circle
Crossref

Computer Vision for Autonomous UAV Flight Safety: An Overview and a Vision-based Safe Landing Pipeline Example

ACM Computing Surveys
2022 | Journal article
DOI: 10.1145/3472288
EID:

2-s2.0-85121145835

Part of ISSN: 15577341 03600300
Contributors: Kakaletsis, E.; Symeonidis, C.; Tzelepi, M.; Mademlis, I.; Tefas, A.; Nikolaidis, N.; Pitas, I.
Source: Self-asserted source
Efstratios Kakaletsis via Scopus - Elsevier

Bayesian fusion of multiview human crowd detections for autonomous UAV fleet safety

European Signal Processing Conference
2021 | Conference paper
DOI: 10.23919/Eusipco47968.2020.9287442
EID:

2-s2.0-85099275729

Part of ISSN: 22195491
Contributors: Kakaletsis, E.; Mademlis, I.; Nikolaidis, N.; Pitas, I.
Source: Self-asserted source
Efstratios Kakaletsis via Scopus - Elsevier

Multiview vision-based human crowd localization for UAV fleet flight safety

Signal Processing: Image Communication
2021 | Journal article
DOI: 10.1016/j.image.2021.116484
EID:

2-s2.0-85115182961

Part of ISSN: 09235965
Contributors: Kakaletsis, E.; Mademlis, I.; Nikolaidis, N.; Pitas, I.
Source: Self-asserted source
Efstratios Kakaletsis via Scopus - Elsevier

Potential UAV landing sites detection through digital elevation models analysis

arXiv
2021 | Other
EID:

2-s2.0-85110910549

Part of ISSN: 23318422
Contributors: Kakaletsis, E.; Nikolaidis, N.
Source: Self-asserted source
Efstratios Kakaletsis via Scopus - Elsevier

Vision-based UAV Safe Landing exploiting Lightweight Deep Neural Networks

2021 The 4th International Conference on Image and Graphics Processing
2021-01 | Conference paper
DOI: 10.1145/3447587.3447590
Source: Self-asserted source
Efstratios Kakaletsis

Incremental Label Propagation on Facial Images

IEEE International Workshop on Machine Learning for Signal Processing, MLSP
2019 | Conference paper
DOI: 10.1109/MLSP.2019.8918825
EID:

2-s2.0-85077701664

Part of ISSN: 21610371 21610363
Contributors: Kakaletsis, E.; Tefas, A.; Nikolaidis, N.; Pitas, I.
Source: Self-asserted source
Efstratios Kakaletsis via Scopus - Elsevier

Semantic map annotation through UAV video analysis using deep learning models in ROS

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2019 | Book
DOI: 10.1007/978-3-030-05716-9_27
EID:

2-s2.0-85059848091

Part of ISSN: 16113349 03029743
Contributors: Kakaletsis, E.; Tzelepi, M.; Kaplanoglou, P.I.; Symeonidis, C.; Nikolaidis, N.; Tefas, A.; Pitas, I.
Source: Self-asserted source
Efstratios Kakaletsis via Scopus - Elsevier

Fast constrained person identity label propagation in stereo videos using a pruned similarity matrix

Signal Processing: Image Communication
2018 | Journal article
DOI: 10.1016/j.image.2018.06.008
EID:

2-s2.0-85049526474

Part of ISSN: 09235965
Contributors: Kakaletsis, E.; Zoidi, O.; Tsingalis, I.; Tefas, A.; Nikolaidis, N.; Pitas, I.
Source: Self-asserted source
Efstratios Kakaletsis via Scopus - Elsevier

Label Propagation on Facial Images Using Similarity and Dissimilarity Labelling Constraints

Proceedings - International Conference on Image Processing, ICIP
2018 | Conference paper
DOI: 10.1109/ICIP.2018.8451066
EID:

2-s2.0-85062898564

Part of ISSN: 15224880
Contributors: Kakaletsis, E.; Zoidi, O.; Tsingalis, I.; Tefas, A.; Nikolaidis, N.; Pitas, I.
Source: Self-asserted source
Efstratios Kakaletsis via Scopus - Elsevier

Fast label propagation on facial images using a pruned similarity matrix

2016 Digital Media Industry & Academic Forum (DMIAF)
2016-07 | Conference paper
DOI: 10.1109/dmiaf.2016.7574911
Source: Self-asserted source
Efstratios Kakaletsis

A technique for fake 3D (2D-to-3D converted) video recognition

2015 23rd European Signal Processing Conference (EUSIPCO)
2015-08 | Conference paper
DOI: 10.1109/eusipco.2015.7362354
Source: Self-asserted source
Efstratios Kakaletsis
How many people are using ORCID?